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Presentation
Presentation
To prepare students for the application of statistical techniques, descriptive and inferential, to analyze data on the context of the course, based on the acquirement of a solid knowledge of basic and fundamental concepts on applied statistics. To prepare the student for doing academic scientific essays in the area of his/her cycle of studies, based on the development of a logic and organized reasoning that allow the definition of valid hypothesis and an adequate presentation of statistical results. At the end of this unit, the students should: 1. Develop skills in the application of statistics, descriptive and inferential techniques in data analysis; 2. Apply the knowledge learned in formulating hypotheses of the valid study and presenting statistical results adequately.
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Class from course
Class from course
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Degree | Semesters | ECTS
Degree | Semesters | ECTS
Master Degree | Semestral | 6
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Year | Nature | Language
Year | Nature | Language
1 | Mandatory | Português
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Code
Code
ULP2361-6944
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Prerequisites and corequisites
Prerequisites and corequisites
Not applicable
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Professional Internship
Professional Internship
Não
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Syllabus
Syllabus
1. Introduction to JASP, databases creation and organization 2. Descriptive statistics and exploratory 3. Inferential statistics 4. Parametric and nonparametric statistics 5. Statistical power and effect size 6. Analyses of association and correlation 7. Univariate and Multivariate group comparisons
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Objectives
Objectives
At the end of this UC, students should be able to: - develop research objectives and hypotheses and properly define and operationalize the variables under study - select and use the appropriate methods of data analysis, using JASP, considering the nature of the hypotheses and variables - conduct descriptive analyses and graphically represent collected data - perform inferential analyses and interpreting, presenting and discussing the results - examine the factorial structure of instruments through exploratory and/or confirmatory procedures
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Teaching methodologies
Teaching methodologies
Innovative methodologies will be used to support the teaching-learning process, namely peer assessment, digital tools, group sessions, and problem-based learning (PBL).
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References
References
Field, A. (2013). Discovering Statistics Using SPSS (4ª ed). London: Sage. João Marôco. (2014). Análise Estatística com o SPSS Statistics. 6ª edição. ReportNumber, análise e gestão de informação, LDA. Martin, W. E. & Bridgmon, K. D. (2012). Quantitative and Statistical Research Methods: From Hypothesis to Results. San Francisco, CA: John Wiley and Sons Martins, C. (2011). Manual de Análise de Dados Quantitativos com recurso ao IBM SPSS: Saber decidir, fazer, interpretar e redigir. Braga: Psiquilibrios. Nikos Ntoumanis. (2001). A Step-by-Step Guide to SPSS for Sport and Exercise Studies. Publisher Routledge Tabachnick, B. G., & Fidell, L. S. (2007). Using multivariate statistics. (5th ed.) Boston: Allyn and Bacon
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Assessment
Assessment
Descrição
Data limite
Ponderação
Teste de avaliação TEÓRICO-PRÁTICO
a definir
100%
(...)
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Mobility
Mobility
No





